• Title/Summary/Keyword: Biological signal

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Signal Conditioning Filters for EEG Waveforms Detection

  • Chang, Tae-G.;Park, Seung-Hun
    • Proceedings of the KOSOMBE Conference
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    • v.1992 no.05
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    • pp.184-185
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    • 1992
  • This paper investigates the EEG waveform distortions caused by the transient responses of the various types of signal conditioning filters, which are generally introduced for the automated EEG analysis. This study explicitly simulates the filter responses to the typical EEG waveform models, and compares the distortions.

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A Study on EMG Functional Recognition Vsing Reduced-Connection Network (연결 축소 회로망을 이용한 EMG 신호 기능 인식에 관한 연구)

  • 조정호;최윤호
    • Journal of Biomedical Engineering Research
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    • v.11 no.2
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    • pp.249-256
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    • 1990
  • In this study, LPC cepstrum coefficients are used as feature vector extracted from AR model of EMG signal, and a reduced-connection network whlch has reduced connection between nodes is constructed to classify and recognize EMG functional classes. The proposed network reduces learning time and improves system stability Therefore it is Ehown that the proposed network is appropriate in recognizing function of EMG signal.

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Estimation of Evoked Potentials by Object Color Stimulation (물체색 자극에 의한 유발뇌파의 추정)

  • 양호언;최갑석
    • Journal of Biomedical Engineering Research
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    • v.11 no.1
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    • pp.65-70
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    • 1990
  • The phenomenon of color sensory has been mainly studied on the relation with the stimulus source of light source color according to dispersed energy of light. However, it has not been definitely found that the phenomenon of color sensory be collcerned with evoked potentials stimulated by object color. This paper proposes the method that evoked potentials stimulated by object colors are analyzed and examined on the phenomemon of color sensory. The model of evoked potentials is assumed that it is consisted of an additive noise and a transient signal caused by stimulus. The method which is used to estimate the signal is time-varying filtering.

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Detection of Distinctive Points in Impedance Cardiogram during Exercise by Cross-Correlation Method (상호상관 관계를 이용한 운동중의 임피던스 파형에서의 특성점 검출)

  • 오인식;송철규
    • Journal of Biomedical Engineering Research
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    • v.12 no.4
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    • pp.261-266
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    • 1991
  • As the ensemble averaged dz/dt signal during exercise gets smoothed, it is difficult to find the distinctive marks for estimation of stroke volume. The cross correlation function was made use of estimating these marks for automatic calculation by computer from the ensemble averaged dz/dt signal. LVET( Left Ventricular Ejection Time) and stroke volume were estimated based on the calculated parameters from the characteristic points. LVET, stroke volume calculated by hand, by the ensemble average and the cross correlation were compared for accuracy validation.

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Evaluation of the Criteria for the Control of Arousal Level and Effect of Warning Signal (각성도 제어를 위한 평가기준의 설정 및 경고음의 효과분석)

  • 김연호
    • Journal of Biomedical Engineering Research
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    • v.18 no.1
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    • pp.79-86
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    • 1997
  • This paper describes the development of portable arousal measurement and analysis system. Skin impedance change which responds to the change of arousal level was detected by the three elctrode constant current method and separated into two components(SIR, SIL). Relationship between Nz, IRI and arousal level was studied and criteria of arousal level control was decided by the sleep study. Measured data with and without warning signal were compared and analyzed.

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A Study on Design of a Chaos-ECG Analyzer and its Applications (카오스-심전도 분석기의 설계 및 응용에 관한 연구)

  • Lee, Byung-Chae;Lee, Myoung-Ho
    • Proceedings of the KOSOMBE Conference
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    • v.1993 no.11
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    • pp.137-140
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    • 1993
  • This paper describes a Chaos analyzer and its applications to characteristic analysis of ECG signals and the other signals. We can detect chaotic system among the various system by quantitative and qualitative analysis using the proposed system. And we also propose a new Possibility to recognize abnormal state of ECG signal using the chaotic characteristcs of signal.

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New Insights into mTOR Signal Pathways in Ovarian-Related Diseases: Polycystic Ovary Syndrome and Ovarian Cancer

  • Liu, Ai Ling;Liao, Hong Qing;Li, Zhi Liang;Liu, Jun;Zhou, Cui Lan;Guo, Zi Fen;Xie, Hong Yan;Peng, Cui Ying
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.12
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    • pp.5087-5094
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    • 2016
  • mTOR, the mammalian target of rapamycin, is a conserved serine/threonine kinase which belongs to the phosphatidyl-linositol kinase-related kinase (PIKK) family. It has two complexes called mTORC1 and mTORC2. It is well established that mTOR plays important roles in cell growth, proliferation and differentiation. Over-activation of the mTOR pathway is considered to have a relationship with the development of many types of diseases, including polycystic ovary syndrome (PCOS) and ovarian cancer (OC). mTOR pathway inhibitors, such as rapamycin and its derivatives, can directly or indirectly treat or relieve the symptoms of patients suffering from PCOS or OC. Moreover, mTOR inhibitors in combination with other chemical-molecular agents may have extraordinary efficacy. This paper will discuss links between mTOR signaling and PCOS and OC, and explore the mechanisms of mTOR inhibitors in treating these two diseases, with conclusions regarding the most effective therapeutic approaches.

Synaptic Facilitation of Naive and Depressed Synapses in Aplysia

  • Chang, Deok-Jin;Kaang, Bong-Kiun
    • Proceedings of the Korean Biophysical Society Conference
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    • 2001.06a
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    • pp.23-23
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    • 2001
  • To evaluate the contribution of cAMP/PKA signal pathway in short-term facilitation, we overexpressed Ap oal receptor in sensory neurons that do not normally express this receptor. We have previously shown that activation of this receptor in sensory cells, by a brief treatment with octopamine (OA), produced short-term facilitation such as membrane depolarization, increase in membrane excitability, spike broadening, and enhanced neurotransmitter release in non-depressed synapse.(omitted)

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Design of FPGA Adaptive Filter for ECG Signal Preprocessing (FPGA를 이용한 심전도 전처리용 적응필터 설계)

  • 한상돈;전대근;이경중;윤형로
    • Journal of Biomedical Engineering Research
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    • v.22 no.3
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    • pp.285-291
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    • 2001
  • In this paper, we designed two preprocessing adaptive filter - high pass filter and notch filter - using FPGA. For minimizing the calculation load of multi-channel and high-resolution ECG system, we utilize FPGA rather than digital signal processing chip. To implement the designed filters in FPGA, we utilize FPGA design tool(Altera corporation, MAX-PLUS II) and CSE database as test data. In order to evaluate the performance in terms of processing time, we compared the designed filters with the digital filters implemented by ADSP21061(Analog Devices). As a result, the filters implemented by FPGA showed better performance than the filters based on ADSP21061. As a consequence of examination, we conclude that FPGA is a useful solution in multi-channel and high-resolution signal processing.

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